Sr. Manager, AI Engineer
Actively Hiring
Full-time Posted 3 months ago
Role overview
- check_circle Design and develop end-to-end AI-powered features for DecisionIQ: from data ingestion and model integration through API development and frontend delivery
- check_circle Build and maintain data ETL pipelines using Python and SQL; integrate ML model outputs into production application workflows
- check_circle Develop server-side logic using Python and back-end technologies; implement RESTful APIs to connect AI components with the broader application
- check_circle Create responsive, visually appealing web interfaces and interactive data applications using modern frontend frameworks (React, Vue) and visualization libraries (Dash, Streamlit, Tableau, Power BI)
- check_circle Synthesize complex data and model outputs into intuitive visualizations that non-technical commercial users can act on confidently
- check_circle Partner with product owners, data scientists, and local commercial stakeholders to gather user requirements and translate them into technical specifications
- check_circle Drive iterative development with rapid prototyping, user feedback loops, and continuous improvement of DecisionIQ capabilities
- check_circle Communicate complex technical concepts and insights to both technical and non-technical stakeholders to inform product decisions
- check_circle Collaborate with cross-functional teams to ensure successful integration of reusable AI components into production solutions
- check_circle Enforce coding standards, best practices, and thorough testing (unit, integration, E2E) to ensure reliability and maintainability
- check_circle Implement and maintain CI/CD pipelines for smooth, frequent software delivery
- check_circle Implement logging and monitoring tools to gain insights into system behavior; proactively identify and resolve production issues
- check_circle Perform root cause analysis to diagnose and fix production errors; maintain high system availability
- check_circle Contribute to a highly effective engineering team; actively help colleagues grow through mentoring, code reviews, and knowledge sharing
- check_circle Train and guide junior developers on AI, data science, and software development best practices
- check_circle Stay up-to-date with emerging technologies and evaluate their applicability to DecisionIQ
- check_circle Act as a subject matter expert for AI solution engineering on cross-functional teams
Basic qualifications
- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field
- 7+ years of experience in software engineering, data science, or related technical fields
- Proven experience as a Full Stack Engineer or AI Solution Engineer with a strong portfolio of shipped products
- Solid experience in Python and relevant ML libraries/frameworks (scikit-learn, TensorFlow, PyTorch)
- Solid understanding of back-end technologies, databases (SQL and NoSQL), and RESTful APIs
- Good knowledge of data manipulation, preprocessing, feature engineering, and ETL pipeline development
- Good understanding of statistical modeling, machine learning algorithms, and data mining techniques
- Experience building interactive web applications with JavaScript frameworks (React, Vue, or AngularJS)
- Experience building dashboards and data applications (Tableau, Power BI, Dash, Streamlit)
- Familiarity with cloud-based analytics ecosystems (AWS, Snowflake)
- Proficiency in Git for version control
- Hands-on experience working in Agile teams, processes, and practices
- Highly self-motivated; strong English communication skills (written and verbal)
Preferred qualifications
- Advanced degree in Computer Science, Data Science, Statistics, or related field
- Experience with CI/CD integration (GitHub, GitHub Actions) and containers (Docker)
- Experience with responsive UI technologies (HTML, Tailwind CSS, Bootstrap, Material, Vuetify)
- Experience with Infrastructure as Code (IaC) tools such as Terraform, Ansible, or CloudFormation
- Experience with data science platforms (Dataiku DSS, AWS SageMaker)
- Familiarity with monitoring and observability tools (Prometheus, Grafana, ELK stack)
- Experience with LLM frameworks (LangChain, Langfuse) and prompt engineering
- Background in product-led engineering teams
Tags & Focus Areas
Fulltime Ai Ai Engineer Data Science
About Pfizer
At Pfizer, the Associate Data Scientist is responsible to assist Pfizer’s Data Management staff to leverage both internal and external data assets to deliver business insights, implement automation and Artificial Intelligence (AI) methods by collaborating with cross-functional teams within the organization with an overall goal of enhancing tactical and strategic decision making.